Advances in Decision Sciences
Volume 2008 (2008), Article ID 125797, 13 pages
doi:10.1155/2008/125797
Clustering objects described by juxtaposition of binary data tables
Amar Rebbouh
MSTD Laboratory, Faculty of Mathematics, University of Science and Technology-Houari Boumediene (USTHB), El Alia, BP 32, Algiers 16011, Algeria
Abstract
This paper seeks to develop an allocation of 0/1 data matrices to physical systems upon a Kullback-Leibler distance between probability distributions. The distributions are estimated from the contents of the data matrices. We discuss an ascending hierarchical classification method, a numerical example and mention an application with survey data concerning the level of development of the departments of a given territory of a country.